In [106]:
#Import necessary libraries
import geopandas as gpd
import pandas as pd
import requests
from pandas import json_normalize
from ipywidgets import FloatRangeSlider
import pydeck as pdf
import matplotlib.pyplot as plt
In [107]:
#Retrieve data from ACLED's API. Add your key and email in order to retrieve data
api = "https://api.acleddata.com/acled/read?key=addyourkey&email=addyouremail"

#Retrieve data for the African Continent - for more information on how to query the ACLED API, check the API Codebook
params = {
    'region' : '1|2|3|4|5',
    'actor1': 'Islamic State Sahel Province (ISSP):OR:actor2=Islamic State Sahel Province (ISSP)',
    'limit': 0,

}

response = requests.get(api, params=params)

#Parse JSON data
data = response.json()

#Normalize the data
acled_data = json_normalize(data['data'])

#Print the dataset
display(acled_data)
event_id_cnty event_date year time_precision disorder_type event_type sub_event_type actor1 assoc_actor_1 inter1 ... location latitude longitude geo_precision source source_scale notes fatalities tags timestamp
0 MLI33492 2024-12-11 2024 1 Strategic developments Strategic developments Change to group/activity Islamic State Sahel Province (ISSP) Rebel group ... Doro 16.1137 -0.8606 2 Al Zallaqa; Twitter; Undisclosed Source Local partner-Other Change to armed group: On 11 December 2024, a ... 0 1734465911
1 MLI33512 2024-12-10 2024 1 Strategic developments Strategic developments Change to group/activity Islamic State Sahel Province (ISSP) Rebel group ... Tamarmat 17.2000 2.8667 2 Undisclosed Source Local partner-Other Movement of forces: On 10 December 2024, the p... 0 1734387209
2 MLI33511 2024-12-10 2024 1 Strategic developments Strategic developments Change to group/activity Islamic State Sahel Province (ISSP) Rebel group ... Sahene 17.2608 2.9919 2 Undisclosed Source Local partner-Other Movement of forces: On 10 December 2024, the p... 0 1734465911
3 MLI33513 2024-12-10 2024 1 Political violence Battles Armed clash Islamic State Sahel Province (ISSP) Rebel group ... In Delimane 15.8685 1.5275 1 Undisclosed Source Local partner-Other On 10 December 2024, some ISSP militants kille... 1 1734465911
4 NIR31210 2024-12-10 2024 1 Political violence Battles Armed clash Islamic State Sahel Province (ISSP) Rebel group ... Petelkole 13.9931 0.4199 1 Aniamey; Forces Armees Nigeriennes; RFI Other-National On 10 December 2024, an armed group (likely IS... 36 1734465914
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
2282 MLI6340 2022-03-09 2022 2 Political violence Violence against civilians Attack Islamic State Sahel Province (ISSP) Rebel group ... In Chinnana 15.6063 3.3791 2 aBamako; Undisclosed Source Local partner-Other Around 9 March 2022 (between 9 - 10 March), IS... 18 1730156944
2283 MLI6341 2022-03-09 2022 1 Political violence Violence against civilians Attack Islamic State Sahel Province (ISSP) Rebel group ... In Farakraka 15.8097 3.5529 1 Twitter New media On 9 March 2022, IS Sahel militants attacked a... 10 1730156944
2284 MLI6352 2022-03-09 2022 1 Political violence Battles Non-state actor overtakes territory Islamic State Sahel Province (ISSP) Rebel group ... In Chinnana 15.6063 3.3791 1 aBamako; MSA Azawad; RFI; Undisclosed Source Local partner-Other On 9 March 2022, IS Sahel militants and MSA mi... 8 1730156944
2285 BFO6777 2022-03-09 2022 1 Strategic developments Strategic developments Looting/property destruction Islamic State Sahel Province (ISSP) Rebel group ... Sambonaye 14.1444 0.0527 1 Facebook New media Looting: On 9 March 2022, presumed ISSP milita... 0 1730158770
2286 MLI6329 2022-03-09 2022 1 Political violence Battles Armed clash Islamic State Sahel Province (ISSP) Rebel group ... Tamalat 15.7970 3.7095 1 aBamako; Al Naba; MSA Azawad; Twitter; Undiscl... Local partner-Other On 9 March 2022, IS Sahel militants and MSA mi... 60 1731445548

2287 rows × 31 columns

In [109]:
#Convert from DataFrame to GeoDataFrame
gdf = gpd.GeoDataFrame(acled_data, geometry=gpd.points_from_xy(acled_data.longitude, acled_data.latitude), crs='EPSG:4326')

#Convert object data type into numerical  
gdf['year'] = pd.to_numeric(gdf['year'], errors='coerce')
gdf['fatalities'] = pd.to_numeric(gdf['fatalities'], errors='coerce')
gdf['longitude'] = pd.to_numeric(gdf['longitude'], errors='coerce')
gdf['latitude'] = pd.to_numeric(gdf['latitude'], errors='coerce')

# Create ScatterplotLayer
scatterplot_layer = pdk.Layer(
    'ScatterplotLayer',
    gdf,
    get_position=['longitude', 'latitude'],
    get_fill_color=[139, 0, 0],  # Color in RGB
    get_radius='fatalities * 2',  # Scale radius based on fatalities
    radius_min_pixels=1.5,
    pickable=True,  # Allow interactions with the points
)


# Create the map view to center the map in Niamey, Niger
view_state = pdk.ViewState(
    latitude=13.5120, 
    longitude=2.1128,
    zoom=4,          
)

# Create the map and display the scatter_plot layer. Use the 'dark' basemap
map = pdk.Deck(
    layers=[scatterplot_layer],
    initial_view_state=view_state,
    map_style='dark',  
)

# Slider to control the year range
year_slider = FloatRangeSlider(
    value=[1997, 2024],
    min=1997,
    max=2024,
    step=1,
    description="Year Range: ",
    readout_format='.0f',
    layout=Layout(width='50%')
)

# Link the year slider to filter the scatterplot layer
def update_map(change):
    # Get selected range from slider
    year_range = change['new']
    
    # Filter data based on year range
    filtered_data = gdf[(gdf['year'] >= year_range[0]) & (gdf['year'] <= year_range[1])]
    
    # Update the ScatterplotLayer with the filtered data
    map.layers[0].data = filtered_data

# Attach the slider's value change to the update function
year_slider.observe(update_map, names='value')

# Display the slider and map
display(year_slider)
map.show()

FloatRangeSlider(value=(1997.0, 2024.0), description='Year Range: ', layout=Layout(width='50%'), max=2024.0, m…
Out[109]: